Biology subjects

Liu, Z. J.

Publications and source records attributed to Liu, Z. J..

9 recordsLinked to original sources

bioRxiv2026

Plasticity-induced actin polymerization positions endocytic compartments at the bases of stimulated spines

The endocytic pathway plays key roles in facilitating and regulating synaptic plasticity, but how its components are organized at spines undergoing plasticity is not fully understood. Here we use live-cell imaging and single-particle tracking to examine the localization of endosomes and lysosomes in response to plasticity-inducing stimuli. We find that endosomes and lysosomes are positioned and retained near the bases of stimulated spines after the induction of structural plasticity in a manner dependent on actin polymerization in the dendritic shaft. Spines with endocytic compartments near their bases exhibit greater glutamate receptor turnover and more sustained enlargement after stimulation than spines lacking them. These results suggest that actin polymerization in the dendritic shaft acts as a hub to organize critical cellular machinery at the bases of spines undergoing synaptic plasticity.

neuroscience↗

bioRxiv2026

Single-particle tracking reveals neuronal activity-dependent shuttling of ARC/ARG3.1 protein between cytoplasmic clusters and the nucleus

The activity-regulated cytoskeleton-associated protein (ARC/ARG3.1) is a key regulator of synaptic plasticity and has both synaptic and nuclear functions. ARC is known to undergo nuclear import and export, yet the dynamic transport behavior of individual ARC particles remains unknown. Using live-cell single-particle tracking, we directly visualize ARC nucleocytoplasmic transport and shuttling in primary hippocampal neurons. Synaptic activation by chemical long-term potentiation (cLTP) treatment increases shuttling behavior and reveals a previously underappreciated organization of ARC within the neuronal cell body cytoplasm, characterized by perinuclear ARC clusters. Disruption of the N-terminal ARC oligomerization motif markedly reduced both perinuclear cluster formation and nucleocytoplasmic shuttling. Together, these findings reveal an activity-dependent relationship between ARC self-assembly, perinuclear organization, and nucleocytoplasmic trafficking, providing a potential mechanism for coordinating the synaptic and nuclear functions of ARC during neuronal plasticity.

neuroscience↗

bioRxiv2026

Learning latent conformational landscapes encoded in cryo-EM

A protein populates a landscape of structural states, abundant snapshots of which are sampled in every cryo-EM experiment. Current analysis averages these snapshots into single density maps or partitions them into discrete classes, discarding the continuous dynamics encoded in the data. Continuous latent-space methods offer a promising alternative, yet whether their learned representations are physically grounded remains unresolved. Here, we realize cryo-EM as structural landscape microscopy, in which latent density directly reflects the probabilistic distribution of molecular states. A central question is whether such a landscape reflects physical reality. For integrin v{beta}8, the learned landscape shows strong agreement with independently derived molecular dynamics simulations, supporting its physical plausibility. We then apply the landscape to structural states that conventional cryo-EM cannot resolve. For LIS1-mediated dynein activation, the landscape reveals a spectrum of states from dominant conformations to low-population intermediates defined by distinct binding modes, including a previously unresolved state. For the KCTD5/CUL3NTD/G{beta}{gamma} complex, the landscape resolves continuous conformational pathways directly from experimental data. Probability-guided particle selection further improves reconstruction quality.

molecular biology↗

bioRxiv2026

Machine learning-guided spatial omics for tissue-scale discovery of cell-type-specific architectures

Multiplexed protein imaging enables spatially resolved analysis of molecular organization in tissues, but existing spatial proteomics platforms remain constrained in scalability, throughput, and integration with RNA measurements and interpretable computational analysis. Here, we present an integrated spatial omics framework that combines highly multiplexed protein and RNA imaging with explainable machine learning to map cell-type-specific molecular and structural architectures at tissue scale. Using this platform, we simultaneously profiled up to 46 proteins and 79 RNA species across [~]370,000 cells in intact mouse brain tissue at diffraction-limited subcellular resolution ([~]260 nm). We developed a scalable, open-source computational pipeline for large-scale image processing and analysis, and show that nuclear protein and chromatin features alone are sufficient to accurately classify brain cell types and their spatial organization. Incorporation of explainable deep learning further enabled identification of human-interpretable, cell-type-specific subnuclear structural features directly from imaging data, with independent quantitative validation. Together, this integrated experimental and computational framework enables tissue-scale spatial proteomics-based cell-type classification and structural feature discovery, providing a broadly applicable platform for mechanistic studies, high-content screening, and translational applications.

systems biology↗

bioRxiv2026

Structural basis of underwound DNA topology bearing PAM-mutant recognition by AtCas9

The CRISPR-Cas9 system locates genomic targets through gRNA pairing and recognition a protospacer-adjacent motif (PAM). While PAM specificity is typically sequence-determined, we previously found that DNA topology can regulate PAM specificity, relaxing PAMs of various Cas9 effectors and allowing near-PAMless cleavage activity of a type II-C Alicyclobacillus tengchongensis Cas9 (AtCas9). However, the structural mechanism underlying this regulation remains unknown. Here, we report cryo-EM structures of AtCas9 bound to B-form DNA or a 340-bp underwound minicircle DNA bearing WT or mutant PAMs. Despite differences in PAM sequences, all three underwound complexes adopt an almost identical architecture that is distinct from the B-form DNA-bound state. On B-form DNA, AtCas9 recognizes the PAM via base-specific hydrogen bonds and steric exclusion, conferring preference for N4CNNN and N4RNNA (R = A/G). In contrast, underwound minicircle DNA widens the PAM major groove, reduces steric clashes, and enables a compensatory mode involving sequence-independent backbone contacts, explaining near-PAMless cleavage under underwound conformation. These findings uncover a topology-dependent mechanism of PAM recognition and establish a cryo-EM platform using underwound minicircle DNA for structural studies under native-like topological states.

biochemistry↗

bioRxiv2025

A Multimodal Adaptive Optical Microscope For In Vivo Imaging from Molecules to Organisms

Understanding biological systems requires observing features and processes across vast spatial and temporal scales, spanning nanometers to centimeters and milliseconds to days, often using multiple imaging modalities within complex native microenvironments. Yet, achieving this comprehensive view is challenging because microscopes optimized for specific tasks typically lack versatility due to inherent optical and sample handling trade-offs, and frequently suffer performance degradation from sample-induced optical aberrations in multicellular contexts. Here, we present MOSAIC, a reconfigurable microscope that integrates multiple advanced imaging techniques including light-sheet, label-free, super-resolution, and multi-photon, all equipped with adaptive optics. MOSAIC enables non-invasive imaging of subcellular dynamics in both cultured cells and live multicellular organisms, nanoscale mapping of molecular architectures across millimeter-scale expanded tissues, and structural/functional neural imaging within live mice. MOSAIC facilitates correlative studies across biological scales within the same specimen, providing an integrated platform for broad biological investigation.

cell biology↗

bioRxiv2024

Deep-Tissue Spatial Omics: Imaging Whole-Embryo Transcriptomics and Subcellular Structures at High Spatial Resolution

The inherent limitations of fluorescence microscopy, notably the restricted number of color channels, have long constrained comprehensive spatial analysis in biological specimens. Here, we introduce cycleHCR technology that leverages multicycle DNA barcoding and Hybridization Chain Reaction (HCR) to surpass the conventional color barrier. cycleHCR facilitates high-specificity, single-shot imaging per target for RNA and protein species within thick specimens, mitigating the molecular crowding issues encountered with other imaging-based spatial omics techniques. We demonstrate whole-mount transcriptomics imaging of 254 genes within an E6.5[~]7.0 mouse embryo, achieving precise three-dimensional gene expression and cell fate mapping across a specimen depth of [~] 310 {micro}m. Utilizing expansion microscopy alongside protein cycleHCR, we unveil the complex network of 10 subcellular structures in primary mouse embryonic fibroblasts. Furthermore, in mouse hippocampal slice, we image 8 protein targets and profile the transcriptome of 120 genes, uncovering complex gene expression gradients and cell-type specific nuclear structural variances. cycleHCR provides a unifying framework for multiplex RNA and protein imaging, offering a quantitative solution for elucidating spatial regulations in deep tissue contexts for research and potentially diagnostic applications.

developmental biology↗

bioRxiv2024

Assessing the impact of Brd2 depletion on chromatin compartmentalization

Recent insights into genome organization have emphasized the importance of A/B chromatin compartments. While our previous research showed that Brd2 depletion weakens compartment boundaries and promotes A/B mixing 1, Hinojosa-Gonzalez et al.2 were unable to replicate the findings. In response, we revisited our Micro-C data and successfully replicated the original results using the default parameters in the cooltools software package. We show that, after correcting inconsistencies with the selection and phasing of the compartment profiles, the decrease in B compartment strength persists but the change in compartment identity is to a much lesser extent than originally reported. To further assess the regulatory role of Brd2, we used saddle plots to determine the strength of compartmentalization and observed a consistent decrease of compartment strength especially at B compartments upon Brd2 depletion. This study highlights the importance of selecting appropriate parameters and analytical tools for compartment analysis and carefully interpreting the results.

genomics↗

bioRxiv2024

A series of spontaneously blinking dyes for super-resolution microscopy

Spontaneously blinking fluorophores permit the detection and localization of individual molecules without reducing buffers or caging groups, thus simplifying single-molecule localization microscopy (SMLM). The intrinsic blinking properties of such dyes are dictated by molecular structure and modulated by environment, which can limit utility. We report a series of tuned spontaneously blinking dyes with duty cycles that span two orders of magnitude, allowing facile SMLM in cells and dense biomolecular structures.

cell biology↗